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OpenGVLab
/
InternVL-Chat-ViT-6B-Vicuna-7B

Visual Question Answering
Transformers
PyTorch
TensorBoard
llava
text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCausalLM
    
    processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B")
    model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-7B")
  • Notebooks
  • Google Colab
  • Kaggle
InternVL-Chat-ViT-6B-Vicuna-7B / runs
821 kB
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  • 1 contributor
History: 1 commit
czczup's picture
czczup
Upload folder using huggingface_hub
79556b5 verified about 2 years ago
  • Nov02_22-00-48_pt-woih7l2m-worker-0
    Upload folder using huggingface_hub about 2 years ago